An application of natural language processing for hypoglycemic event identification in patients with diabetes mellitus

An application of natural language processing for hypoglycemic event identification in patients with diabetes mellitus

The therapeutic goal for diabetes mellitus is to maintain normal blood glucose levels, but in some cases, hypoglycemia may occur as a consequence of treatment. Identifying patients with hypoglycemia is critical to preventing adverse events and mortality. However, hypoglycemic events are often not ac...

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Main Authors: J.E. Camacho-Cogollo, Cristhian Felipe Patiño Zambrano, Christian Lochmuller, Claudia C. Colmenares-Mejia, Nicolas Rozo, Mario A. Isaza-Ruget, Paul Rodriguez, Andrés García
Format: Article
Language:English
Published: Elsevier 2025-06-01
Series:Healthcare Analytics
Subjects:
Natural language processing
Machine learning
Diabetes mellitus
Electronic health records
Hypoglycemia
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Online Access:http://www.sciencedirect.com/science/article/pii/S2772442524000832
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